The UCSD library has the e-book. It is on their ProQuest platform. The rules on that platform limit use to 3 simultaneous users, so when you are done reading a section, close the page. http://roger.ucsd.edu/record=b9688724

2. Supplemental text for first 2 weeks: DMRR

3. Other reference books (optional)

The UCSD library, via Springerlink.com and other sources, has a variety of good books on data mining, AI, business analytics, and so forth. All are available free, and most can be downloaded as PDFs. We will use chapters from some of these books. By week 4, check out Springerlink, which has thousands of free technical books on every computer language and applied math method you can think of. If you like physical books, hard copy versions of all Springerlink books are available for $25 each. Springer has a collection called “Use R!” of about 100 books, at http://link.springer.com/search/page/2?facet-content-type=%22Book%22&query=%22use+R%22

R-Stata If you are proficient with Stata, get this book. R for Stata Users . Similarly, there are “translation” books for other computer lanuages.

Some of these books and web courses are also available in Chinese. A few are available in other languages.

4. Software

We will use the following software: The R statistical language, the Rattle package for R which provides a graphical user interface (GUI), RStudio, and numerous special purpose analysis packages that you load via R as the course unfolds. All of this software is free.

Install R by downloading and running the appropriate file for your operating system from CRAN. CRAN is the central repository for R packages. R is an open source language so it is coordinated by volunteers.